Evidence map›Paper›PMID 41279374›Full record

ArticlebioRxiv : the preprint server for biology2025

Spatial organization of the tumor-immune microenvironment in ER-positive breast cancer: remodeling during treatment and associations with clinical response.

Maria Aanesland Dahle, Jan-Lukas Førde, Eivind Valen Egeland, Allison L Creason, Cameron Watson, Øystein Garred, Lina Prasmickaite, Gunhild M Mælandsmo, Gordon B Mills, Olav Engebraaten and 1 more

Abstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors.

Maria Aanesland DahleDepartment of Tumor Biology, Institute for Cancer Research, Oslo University Hospital, Oslo, Norway.ORCID 0009-0003-0692-4984
Jan-Lukas FørdeDepartment of Tumor Biology, Institute for Cancer Research, Oslo University Hospital, Oslo, Norway.ORCID 0000-0002-3172-5608
Eivind Valen EgelandDepartment of Tumor Biology, Institute for Cancer Research, Oslo University Hospital, Oslo, Norway.ORCID 0000-0002-7273-7277
Allison L CreasonKnight Cancer Institute, Oregon Health & Science University, Portland, Oregon, USA.ORCID 0000-0001-5724-1276
Cameron WatsonKnight Cancer Institute, Oregon Health & Science University, Portland, Oregon, USA.ORCID 0000-0002-6942-2469
Øystein GarredDepartment of Pathology, Oslo University Hospital, Oslo, Norway.
Lina PrasmickaiteDepartment of Tumor Biology, Institute for Cancer Research, Oslo University Hospital, Oslo, Norway.ORCID 0000-0002-8358-7964
Gunhild M MælandsmoDepartment of Tumor Biology, Institute for Cancer Research, Oslo University Hospital, Oslo, Norway.ORCID 0000-0002-4797-1600
Gordon B MillsKnight Cancer Institute, Oregon Health & Science University, Portland, Oregon, USA.ORCID 0000-0002-0144-9614
Olav EngebraatenDepartment of Tumor Biology, Institute for Cancer Research, Oslo University Hospital, Oslo, Norway.ORCID 0000-0002-0986-6957
Mads Haugland HaugenDepartment of Tumor Biology, Institute for Cancer Research, Oslo University Hospital, Oslo, Norway.ORCID 0000-0002-7143-2594

Funding

Tumor Evolution and Metastasis ProgramP30CA016672 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI DIANE BODURKA · 1985 to 2026
$290.8M
Understanding the origins of rapid recurrence of pancreatic cancer after resectionP30CA069533 · NCI · OREGON HEALTH & SCIENCE UNIVERSITY · PI Luiz Eduardo Bertassoni · 1997 to 2026
$60.5M
Systematic Characterization and Targeting of Neomorphic Drivers in CancerU01CA281902 · NCI · OREGON HEALTH & SCIENCE UNIVERSITY · PI Benjamin Deneen, Han Liang · 2023 to 2026
$3.5M
Developing a Cancer Galaxy Computational Workbench to Meet Emerging Cancer Data Analysis NeedsU24CA284167 · NCI · H. LEE MOFFITT CANCER CTR & RES INST · PI Jeremy Goecks · 2024 to 2026
$2.9M
Functional Proteomics by Reverse Phase Protein Array in CancerR50CA221675 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI LU, YILING · 2017 to 2021
$726k
NCI NIH HHS P30 CA016672NCI NIH HHS P30 CA069533NCI NIH HHS R50 CA221675NCI NIH HHS U01 CA281902NCI NIH HHS U24 CA284167
6 · The paper itself

Abstract

Background: The tumor microenvironment influences treatment response in ER-positive breast cancer, but what distinguishes responders from non-responders and how it changes during treatment is poorly understood. Methods: ER-positive breast tumors treated with neoadjuvant chemotherapy with or without bevacizumab were profiled with bulk proteomics pre- (n = 95), on- (n = 84) and post-treatment (n = 100). A subset of tumors was profiled with spatial single-cell proteomics pre- (n = 13) and on-treatment (n = 11). Cell phenotypes, spatial location and activation states were determined, and cellular colocalization assessed with spatial metrics. Bulk and spatial features were evaluated against treatment response defined by residual cancer burden. Results: Treatment with bevacizumab amplified chemotherapy effects on proteomic signaling. The immune contexture shifted from suppressive to supportive during treatment through decreased macrophage, regulatory and anergic T-cell density and increased colocalization between epithelial cells and CD8+, CD4+ T-cells and dendritic cells. At baseline, responders had high density of effector memory T-cells, while non-responders had more naïve T-cells. In addition, responders had increased colocalization of epithelial cells with macrophages, and effector memory T-cells with M1-like macrophages compared to non-responders. Conclusions: Spatially distinct tumor-immune microenvironments influence response to neoadjuvant treatment, offering valuable insights for guiding treatment decisions.

Identifiers

PMID41279374
PMCPMC12632638

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.